ABSTRACT A wide range of studies has explored historical events and their long‐term impacts, with urban redevelopment, particularly in the contexts of urban renewal, gentrification, and redlining. However, despite extensive attention to their causes and consequences, quantifying the degree of urban changes over time remains challenging, as scanned historical maps often contain visual noise and annotations. While some computational methods have been developed to model street networks to operationalize urban structures, they are often limited in applying historical maps due to noise. This study proposes a computational method to measure urban transformation by comparing contemporary road structures with those from historical maps. Using 1930s redlining maps as a case study, we extract road features and quantify their structural changes over time. Our results shed light on studies about urban transformation and redevelopment, aiding researchers and policymakers in understanding the impact of historical policies.
Lee et al. (Wed,) studied this question.